Opportunity

Pinterest ML Engineer: $139K-$286K + Equity Role in Columbus

Location Columbus
Company Pinterest
Source jobicy
Posted 2026-10-28 12:49:24

Career & Market Insight

This ML Engineer role at Pinterest sits at the intersection of large-scale personalization, deep learning, and real-world product impact — a rare combination that commands premium market rates. The posted range of $138,905–$285,982 aligns with mid-to-senior ML engineer bands at major tech companies (typical L4–L6 at Pinterest), which is competitive but not anomalous for SF-caliber remote roles.

Skills you'll build here are highly marketable:

  • Recommendation systems and ranking models — in demand at virtually every consumer tech company
  • Large-scale data pipelines with Hadoop/Spark — foundational for senior ML and data engineering roles
  • AI coding assistant proficiency (Copilot, Cursor, Codex) — increasingly a table-stakes expectation industry-wide
  • LLM-powered engineering workflows — cutting-edge tooling experience that transfers well

Culture signals: Pinterest is a mid-size company (~3,000 employees) — larger than a startup but without the bureaucracy of a FAANG giant. Teams are described as "small and mighty," suggesting meaningful ownership. The explicit emphasis on AI collaboration in the interview process is a green flag for a forward-thinking engineering culture.

Watch for: The wide salary band ($147K spread) suggests significant level ambiguity — clarify target level during screening. No relocation assistance signals the team is distributed-first. Publishing experience at ML conferences is a nice-to-have, making this accessible to strong practitioners without an academic background.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute to large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

  • Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data-driven methods and leverage the unique properties of our data to improve candidate retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keep up with industry trends in recommendation systems

What we're looking for:

  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Bachelor's degree in computer science, machine learning, statistics, a related field, or equivalent experience
  • Nice to have:
    • M.S. or PhD in Machine Learning or related areas
    • Publications at top ML conferences
    • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
    • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
    • Expertise in scalable real-time systems that process stream data
    • Passion for applied ML and the Pinterest product

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

Salary Range: $138,905 — $285,982 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Frequently Asked Questions

Is this Pinterest ML Engineer role fully remote?
Yes, the role is tagged #LI-REMOTE and operates under Pinterest's PinFlex flexible work model. However, it is restricted to US-based applicants only and no relocation assistance is provided.
What is the salary range for this position?
The base salary range is $138,905–$285,982 USD annually, depending on location, experience, and skills. The role is also eligible for equity compensation.
How much experience is required for this ML Engineer role?
Pinterest requires a minimum of 2+ years of industry experience applying machine learning methods such as recommender systems, NLP, ranking, or graph representation learning, along with hands-on pipeline and big data experience.
Is a graduate degree required to apply?
No — a Bachelor's degree in computer science, machine learning, statistics, or a related field (or equivalent experience) is the stated requirement. An M.S. or PhD is listed as a nice-to-have, not mandatory.
What product areas will I work on as an ML Engineer at Pinterest?
You'll work across multiple product surfaces including Homefeed, Ads, Growth, Shopping, and Search, building and improving ML models for personalization and recommendation systems at scale.
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